Legal disclosure

Partner and managing director:
Frank Thilo Trautwein, Dipl.-Ing.

Head office:
RAYLYTIC GmbH
Petersstr. 32–34
04109 Leipzig
Germany
Phone: +49 341 656702-01
Phone: +1 646 878 9011 (US & Canada)

Legal and administrative office:
RAYLYTIC GmbH
Ludwigstr. 26
70794 Filderstadt
Germany
Phone: +49 341 656702-10
Fax: +49 341 656702-02

Commercial court:
Leipzig, HRB 34218
VAT ID: DE316866815

Email:
info[a]raylytic.com

Internet:
https://www.raylytic.com

Concept/Realization:
Merzljak Healthcare Marketing W/V GmbH, www.merzljak.de

All images are the property of their respective owners and are subject to copyright. This website uses images from:
RAYLYTIC GmbH and
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Objection to advertising emails, advertising calls, and emails or calls from recruitment agencies

The use of the company’s or employees’ contact data published in the context of the legal disclosure, published on social networks or obtained from third parties

  • to contact us by phone or include us in mass emailing with the intent to inform about, advertise or sell your products or service offerings
  • to lend or obtain permission to lend goods of any kind
  • to obtain intelligence about our business or employees by recruitment agencies during office hours or utilizing business-related contact information

is hereby expressly objected to.

We accept the sending of highly specialized product or service offerings exclusively by EMAIL to the above address. In addition to the exact specification, your product information must contain concrete price information in order to be reviewed by us. If we are interested, WE will contact you. Inquiries regarding receipt or interest, in particular by telephone, are expressly not accepted.

The operator of these pages reserves the right to take legal action, including the immediate forwarding of unsolicited messages, without notice, to the German Federal Network Agency and blacklisting senders of spam mass mailings, as well as the compensation for damages or the issuing of a cost-intensive warning notice in the event of noncompliance with this objection and applicable laws of the EU and the Federal Republic of Germany (Art. 13 of Directive 2002/58/EC; § 7, § 8 and § 20 of the Act against Unfair Competition; § 823 and § 1004 of the German Civil Code).

Product types and services that are listed in consumer or price comparison portals and that concern the placement of advertisements, the selling of contact lists or the recruitment of employees are considered not highly specialized for this purpose and therefore fall under this objection.

General terms and conditions

You will receive our general terms and conditions in parallel with our proposals. Upon request, we will be happy to make them available to you in advance.

Financial partners and government funding

We research and develop methods for the extraction of information from clinical image data. This information must be objective, reliable and, if possible, automatically extractable. This is the only way to reliably assess the healing process or implant function and to achieve evidence-based improvement in treatment methods. The methods used come mainly from the fields of computer vision, AI and big data. We are supported in the development of these procedures by funding from the ESF and ERDF.

Current funded projects

RadiologiX project
with the Otto von Guericke University Magdeburg

Project title: “Research into methods for the first exact, objective and fully automatic analysis of radiographic spine images”
Project period: 15 August 2017–14 August 2020
Implementation period: 15 August 2017–14 November 2020

Although radiological evaluation is fundamental for the entire treatment spectrum of patients with back pain, radiological analysis techniques for the exact quantification and evaluation of the complex anatomy and function of the spinal column have only been developed rudimentarily. For evidence-based diagnosis and treatment and as an essential contribution to clinical research, however, precise analytical methods are urgently needed. The aim of this project is to explore methods for patient-friendly automated analysis of radiographic image data that leads to exact and objective determination and visualization of clinically highly relevant parameters in all anatomical levels. The medium-term goal of this research project is a medical software platform that can be integrated into everyday clinical practice and automatically allows the physician to perform a comprehensive functional and morphological characterization of the patient using standard radiographs. In the future, the results could be related to values of patients with a comparable diagnosis and the data of their treatment course, thus for the first time enabling evidence-based diagnosis and treatment course prognosis. The methods to be researched are also to be transferred to other clinical problem areas in the future.

This project is funded by the ERDF and the German state of Saxony-Anhalt.